Schematic diagram of the G4Hunter scanning principle. حسب Rongxin Zhang (1618159)

VEP annotation of the aSNPs listed in S1 Table. حسب Rongxin Zhang (1618159)

"…<div><p>G-quadruplexes (G4s) are nucleic acid secondary structures with important regulatory functions. Single-nucleotide variants (SNVs), one of the most common forms of genetic variation, can potentially impact the formation of G4 structures if they occur within G4 regions. …"

Overview of archaic SNPs (aSNPs) potentially affecting G4 formation, identified by G4SNVHunter. حسب Rongxin Zhang (1618159)

<b>Protein-Protein interaction (PPI) network of differentially acetylated proteins</b><b> by Aspirin during differentiation of THP-1 cell towards macrophage</b> حسب Li Xing (21105170)

"…The protein-protein interaction (PPI) networks were generated using STRING (H. sapiens; confidence score > 0.7) and visualized in Cytoscape 3.2.1. to elucidate how Aspirin-driven acetylated proteins functionally coordinate within cellular systems. The PPI network was further analyzed to identify densely interconnected functional clusters/modules using topological clustering algorithms. …"

A hypothetical example illustrating the differences between the two assessment modes in G4SNVHunter. حسب Rongxin Zhang (1618159)

Test equipment. حسب Li Jiaqing (21212614)

Real and imaginary parts of the complex permittivities, , for the six test polymers: (a) PMMA, (b) PC, (c) PDMS, (d) PEI, (e) PET, and (f) PS. حسب Proity Nayeeb Akbar (21253534)

Overview diagram of the method and contributions of this work. حسب Gowri Nayar (14234462)

"…This dataset of HA sites is made publicly available. Panel B shows three tasks that can be performed with the set of HA sites. (1) The HA sites can be used to confirm the protein family alignment and validate a protein’s membership within a family based on the similarity of the progression of attention values. (2) The HA sites can define vectors that can be used to determine pairwise similarities between proteins. (3) The HA sites are also predictive of functionally important regions of the protein, as they are spatially close to active sites and residues crucial to the specificity of the protein.…"

Overnight technician routing and scheduling problem with time windows and balanced workloads: a bi-objective zebra optimization algorithm حسب Abolfazl Gharaei (21803416)

"…The performance evaluation and validation results revealed that the proposed ML-based BOZOA provides very good performance in solving TRSPTWs at a variety of scales with respect to the optimality criteria, including, number of taken iterations, infeasibility, optimality error and complementarity compared with both an exact solver and two inspired algorithms from ZOA.</p> <p><b>Highlights</b></p><p>An ML-based bi-objective zebra optimisation algorithm to treat large-scale TRSPs</p><p>Centroid-based clustering on the population of zebras to avoid bias towards a specific search space</p><p>Making a trade-off between exploration and exploitation of the feasible region in the developed algorithm</p><p>A new MINLP model of a weighted bi-objective TRSP with limited capacity depots</p><p>Workload function, penalty function for lateness, subcontracts, time windows for tasks and breaks</p><p>Experiments using real data to show the performance of the model and solution method</p><p></p> <p>An ML-based bi-objective zebra optimisation algorithm to treat large-scale TRSPs</p> <p>Centroid-based clustering on the population of zebras to avoid bias towards a specific search space</p> <p>Making a trade-off between exploration and exploitation of the feasible region in the developed algorithm</p> <p>A new MINLP model of a weighted bi-objective TRSP with limited capacity depots</p> <p>Workload function, penalty function for lateness, subcontracts, time windows for tasks and breaks</p> <p>Experiments using real data to show the performance of the model and solution method</p>…"

S1 Dataset - حسب Ruochen Zhang (3434996)

"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"

Statistical tests of ACC on the random network. حسب Ruochen Zhang (3434996)

"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"

Parameters in the experiment. حسب Ruochen Zhang (3434996)

"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"

Statistical tests of APL on the random network. حسب Ruochen Zhang (3434996)

"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"

Statistical tests of ACC on the regular network. حسب Ruochen Zhang (3434996)

"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"

Statistical tests of APL on the regular network. حسب Ruochen Zhang (3434996)

"…The optimization results are further discussed to find specific paths for optimizing different objective functions. In general, adding edges within the same community is helpful for promoting ACC, while adding edges between different communities is beneficial for reducing APL. …"

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip حسب Rui Zhang (13940)

"…</p>Results<p>Multivariate analysis revealed significant differences in several factors between the patients and the control group. 25-hydroxy vitamin D3 (25OHVD3) was the factor exhibiting the most prominent difference, and most patients presented deficiency in the levels of this vitamin. 25OHVD3 is associated with blood lipids, hormones, thyroid function, human papillomavirus infection, hepatitis B infection, sedimentation rate, renal function, coagulation function, and amino acids in patients with infertility. …"

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx حسب Rui Zhang (13940)

"…</p>Results<p>Multivariate analysis revealed significant differences in several factors between the patients and the control group. 25-hydroxy vitamin D3 (25OHVD3) was the factor exhibiting the most prominent difference, and most patients presented deficiency in the levels of this vitamin. 25OHVD3 is associated with blood lipids, hormones, thyroid function, human papillomavirus infection, hepatitis B infection, sedimentation rate, renal function, coagulation function, and amino acids in patients with infertility. …"

Genome-wide identification of candidate regions associated with birth weight in Lori-Bakhtiari sheep using Random Forest algorithm حسب Mohammad Hossein Moradi (11400671)

"…The results showed that RF is an efficient method for identifying a subset of SNPs with putative functional roles in birth weight. Among 41 candidate genes identified, <i>DOCK4</i>** <b>and</b><b> </b><b><i>LHCGR</i></b> **genes, which were linked with the highest ranked SNPs, are known to influence body weight traits. …"

Table 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.xlsx حسب Peng Liu (120506)

"…Subsequently, Single sample GSEA (ssGSEA) was executed to explore the relationships within immune cell infiltration, UC subtypes, and key anoikis-DEGs. …"

Image 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب Peng Liu (120506)

"…Subsequently, Single sample GSEA (ssGSEA) was executed to explore the relationships within immune cell infiltration, UC subtypes, and key anoikis-DEGs. …"